Single Image 3D Reconstruction of Creased Documents Using Shape-from-Shading with Template-Based Error Correction
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Date
2024
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a method for reconstructing 3D models from single images of creased documents by enhancing the linear shapefrom- shading (SFS) technique with a template-based error correction mechanism. This mechanism is based on a mapping function established using precise data from a spherical surface modeled with linearized Lambertian shading. The error correction mapping is integrated into an algorithm that refines reconstructed depth values during the image scanning process. To resolve the inherent concave/convex ambiguities in SFS, we identify specific conditions based on assumed lighting and the geometric characteristics of creased documents, effectively improving reconstruction even in less controlled lighting environments. Our approach captures intricate geometric details on non-smooth surfaces. Comparative results demonstrate that our method provides superior accuracy and efficiency in reconstructing complex features such as creases and wrinkles.
Description
CCS Concepts: Computing methodologies → Reconstruction; Image processing; Mesh models
@inproceedings{10.2312:pg.20241281,
booktitle = {Pacific Graphics Conference Papers and Posters},
editor = {Chen, Renjie and Ritschel, Tobias and Whiting, Emily},
title = {{Single Image 3D Reconstruction of Creased Documents Using Shape-from-Shading with Template-Based Error Correction}},
author = {Wang, Linqin and Bo, Pengbo},
year = {2024},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-250-9},
DOI = {10.2312/pg.20241281}
}